Cloud Platform Engineer
First seen by Alion on Sep 16, 2026.
Job Title : Cloud Platform Engineer.
Location : Bangalore / US Shift hours (6 : 00 pm to 3 : 00 am).
Function : AWS | Databricks | Jenkins | Terraform | Python.
Job Overview :
At TE Connectivity, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable, and more connected world.
We are seeking a highly skilled, hands-on engineer with deep expertise in Databricks, CI/CD, and cloud infrastructure on AWS.
The ideal candidate should be well-versed in Databricks infrastructure management, automation, and deployment pipelines, with strong programming skills in Python.
Key Responsibilities :
- Manage and maintain AWS cloud infrastructure, ensuring scalability, security, and cost efficiency.
- Design, build, and manage Databricks infrastructure on AWS.
- Support deployment and operationalization of Databricks-based data platforms, including cluster management and job orchestration.
- Implement Infrastructure as Code (IaC) practices using tools such as Terraform or AWS CloudFormation.
- Develop automation scripts and tools using Python and Shell Scripting to streamline operational processes.
- Design, implement, and optimize CI/CD pipelines using CloudBees (Jenkins) to support application and data platform deployments.
- Collaborate with software engineering, data engineering, and architecture teams to enable reliable and efficient delivery pipelines.
- Monitor system performance, availability, and reliability using enterprise monitoring solutions.
- Troubleshoot production issues and implement root cause analysis with preventive actions.
- Ensure compliance with TE Connectivity security, governance, and quality standards.
- Drive continuous improvement initiatives aligned with DevOps best practices and TE operational excellence.
Required Qualifications :
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
- 4+ years of experience in DevOps, cloud engineering, or related roles.
- Exposure to Databricks platform (cluster setup, job execution, notebooks).
- Hands-on experience with AWS services (EC2, S3, IAM, VPC, Lambda, etc.).
- Experience with CloudBees/Jenkins for CI/CD pipeline implementation.
- Experience with Git-based version control systems.
- Experience with monitoring and logging tools such as CloudWatch, DataDog.
- Understanding of cloud security, networking, and system architecture principles.
- Strong scripting/programming skills in Python and Groovy.
- Experience working in Agile/Scrum environments.
Skills
CloudFormation, AWS, Cloud Infrastructure, CI/CD Pipeline, Python, Shell Scripting, DevOps, Cloud Services, Git, Monitoring Tools